MeanCentering: Normalisation MeanCentering

In samWieczorek/DAPAR: Tools for the Differential Analysis of Proteins Abundance with R

Normalisation MeanCentering

Description

Normalisation MeanCentering

Usage

MeanCentering(
  qData,
  conds,
  type = "overall",
  subset.norm = NULL,
  scaling = FALSE
)

Arguments

qData	xxx
conds	xxx
type	"overall" (shift all the sample distributions at once) or "within conditions" (shift the sample distributions within each condition at a time).
subset.norm	A vector of index indicating rows to be used for normalization
scaling	A boolean that indicates if the variance of the data have to be forced to unit (variance reduction) or not.

Value

A normalized numeric matrix

Author(s)

Samuel Wieczorek, Thomas Burger, Helene Borges, Anais Courtier, Enora Fremy

Examples

utils::data(Exp1_R25_pept, package='DAPARdata')
qData <- Biobase::exprs(Exp1_R25_pept)
conds <- Biobase::pData(Exp1_R25_pept)$Condition
normalized <- MeanCentering(qData, conds, type="overall")

samWieczorek/DAPAR documentation built on May 6, 2022, 5:30 p.m.